Derin Beyin Stimülasyonu ve Yapay Zekâ
Özet
Derin beyin stimülasyonu (DBS), Parkinson ve diğer hareket bozukluklarının tedavisinde nöral fonksiyonları modüle eden etkili bir cerrahi yöntem olarak kullanılmaktadır. Günümüzde manuel ve statik ilerleyen bu tedavi süreci; yapay zekâ, makine öğrenmesi ve derin öğrenme algoritmalarının entegrasyonuyla daha dinamik, kişiselleştirilmiş ve hata payı düşük bir yapıya evrilmektedir. Özellikle adaptif DBS (aDBS) sistemleri ve biyobelirteç takibi sayesinde, hastanın anlık motor durumuna göre stimülasyon parametrelerinin otomatik olarak ayarlanması ve cerrahi risklerin önceden tahmin edilmesi hedeflenmektedir.
Deep brain stimulation (DBS) is an effective surgical method used to modulate neural functions in the treatment of Parkinson's disease and other movement disorders. This treatment process, which currently remains manual and static, is evolving into a more dynamic, personalized, and low-error structure through the integration of artificial intelligence, machine learning, and deep learning algorithms. Particularly through adaptive DBS (aDBS) systems and biomarker tracking, the goal is to automatically adjust stimulation parameters according to the patient's real-time motor state and to predict surgical risks in advance.
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